ZeroLatency

### Project Description Dream2Sim is an AI-powered platform that transforms natural-language descriptions into interactive, data-driven simulations. Creating realistic simulations traditionally requires specialized knowledge, manual configuration, and complex tools. This makes simulation technology difficult to access for developers, students, researchers, and people who want to experiment with real-world scenarios. Dream2Sim addresses this problem by allowing users to describe a scenario in plain English. For our current implementation, users can describe urban traffic conditions, such as a busy four-way intersection in Mumbai, different vehicle types, road closures, and traffic congestion. Meta's Muse Spark interprets the user's description and converts it into a structured simulation configuration. A Python-based traffic simulation engine then executes the scenario, while an interactive visualization allows users to observe traffic behavior. The platform calculates simulation metrics from the engine's actual output, helping users understand traffic flow, waiting times, vehicle speeds, and congestion. Users can modify simulation parameters, run different scenarios, and compare their outcomes. Our goal is to make complex simulation workflows more accessible through natural-language interaction, while keeping the underlying simulation deterministic, measurable, and grounded in actual engine results.